Michael R. Berthold

Orcid: 0000-0001-9095-3283

Affiliations:
  • University of Konstanz, Germany


According to our database1, Michael R. Berthold authored at least 123 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2011, "For contributions to approximate learning algorithms for life science data mining".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
SciJava Ops: An Improved Algorithms Framework for Fiji and Beyond.
CoRR, 2024

2023
Towards Data Science Design Patterns.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

2021
Widening: using parallel resources to improve model quality.
Data Min. Knowl. Discov., 2021

2020
Guide to Intelligent Data Science - How to Intelligently Make Use of Real Data, Second Edition
Texts in Computer Science, Springer, ISBN: 978-3-030-45573-6, 2020

Integration of the ImageJ Ecosystem in KNIME Analytics Platform.
Frontiers Comput. Sci., 2020

2019
Widened Learning of Index Tracking Portfolios.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Learned Feature Generation for Molecules.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

2017
Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

2016
On Clustering Time Series Using Euclidean Distance and Pearson Correlation.
CoRR, 2016

Widened Learning of Bayesian Network Classifiers.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

2015
Connecting proteins with drug-like compounds: Open source drug discovery workflows with BindingDB and KNIME.
Database J. Biol. Databases Curation, 2015

Extracting Taxonomies from Bipartite Graphs.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Diversity-Driven Widening of Hierarchical Agglomerative Clustering.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Automatic Taxonomy Extraction from Bipartite Graphs.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Looking over the rim: algorithms for cheminformatics from computer scientists.
J. Cheminformatics, 2014

Fault-Tolerant Concept Detection in Information Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Dementia-Related Features in Longitudinal MRI: Tracking Keypoints over Time.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Widened KRIMP: Better Performance through Diverse Parallelism.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

2013
Fuzzy Logic in KNIME - Modules for Approximate Reasoning -.
Int. J. Comput. Intell. Syst., 2013

EVE: a framework for event detection.
Evol. Syst., 2013

KNIME-CDK: Workflow-driven Cheminformatics.
BMC Bioinform., 2013

Pattern Graphs: Combining Multivariate Time Series and Labelled Interval Sequences for Classification.
Proceedings of the Research and Development in Intelligent Systems XXX, 2013

The demand for consistent web-based workflow editors.
Proceedings of WORKS 2013: 8th Workshop On Workflows in Support of Large-Scale Science, 2013

OpenML: A Collaborative Science Platform.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Parallel universes.
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, 2013

Diversity-Driven Widening.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Detecting Events in Molecular Dynamics Simulations.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Learning Precise Local Boundaries in Images from Human Tracings.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

2012
Node Similarities from Spreading Activation.
Proceedings of the Bisociative Knowledge Discovery, 2012

Towards Discovery of Subgraph Bisociations.
Proceedings of the Bisociative Knowledge Discovery, 2012

(Missing) Concept Discovery in Heterogeneous Information Networks.
Proceedings of the Bisociative Knowledge Discovery, 2012

From Information Networks to Bisociative Information Networks.
Proceedings of the Bisociative Knowledge Discovery, 2012

On the Integration of Graph Exploration and Data Analysis: The Creative Exploration Toolkit.
Proceedings of the Bisociative Knowledge Discovery, 2012

Towards Creative Information Exploration Based on Koestler's Concept of Bisociation.
Proceedings of the Bisociative Knowledge Discovery, 2012

Towards Bisociative Knowledge Discovery.
Proceedings of the Bisociative Knowledge Discovery, 2012

Pattern graphs: A knowledge-based tool for multivariate temporal pattern retrieval.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Parallel Data Mining Revisited. Better, Not Faster.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

From Patterns to Discoveries.
Proceedings of the Journeys to Data Mining, 2012

2011
Maximum-Score Diversity Selection for Early Drug Discovery.
J. Chem. Inf. Model., 2011

Towards active segmentation of cell images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Supervised Learning in Parallel Universes Using Neighborgrams.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Bisociative Discovery of Interesting Relations between Domains.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Bisociative Knowledge Discovery.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Unifying Change - Towards a Framework for Detecting the Unexpected.
Proceedings of the Data Mining Workshops (ICDMW), 2011

(Missing) Concept Discovery in Heterogeneous Information Networks.
Proceedings of the Second International Conference on Computational Creativity, 2011

2010
Guide to Intelligent Data Analysis - How to Intelligently Make Sense of Real Data.
Texts in Computer Science 42, Springer, ISBN: 978-1-84882-260-3, 2010

Maximum-score diversity selection for early drug discovery.
J. Cheminformatics, 2010

Editorial.
Int. J. Approx. Reason., 2010

Learning in parallel universes.
Data Min. Knowl. Discov., 2010

Distance aware tag clouds.
Proceedings of the IEEE International Conference on Systems, 2010

CET: A Tool for Creative Exploration of Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

The new iris data: modular data generators.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Changing the Focus of the IDA Symposium.
Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

Node Similarities from Spreading Activation.
Proceedings of the ICDM 2010, 2010

Domain Bridging Associations Support Creativity.
Proceedings of the International Conference on Computational Creativity, 2010

Active learning in parallel universes.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
KNIME - the Konstanz information miner: version 2.0 and beyond.
SIGKDD Explor., 2009

Active learning for object classification: from exploration to exploitation.
Data Min. Knowl. Discov., 2009

The coming of age of artificial intelligence in medicine.
Artif. Intell. Medicine, 2009

Open standards and cloud computing: KDD-2009 panel report.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Crossover operators for multiobjective k-subset selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Multi-Dimensional Scaling applied to Hierarchical Rule Systems.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Pure spreading activation is pointless.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Corrigendum to: Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation" [Int. J. Approx. Reasoning 35 (2004) 195-202].
Int. J. Approx. Reason., 2008

Adaptive prototype-based fuzzy classification.
Fuzzy Sets Syst., 2008

Supporting Creativity: Towards Associative Discovery of New Insights.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007
Decentralized load balancing for highly irregular search problems.
Microprocess. Microsystems, 2007

Fuzzy clustering in parallel universes.
Int. J. Approx. Reason., 2007

Towards Visual Exploration of Topic Shifts.
Proceedings of the IEEE International Conference on Systems, 2007

KNIME: The Konstanz Information Miner.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Learning in Parallel Universes.
Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

07181 Abstracts Collection -- Parallel Universes and Local Patterns .
Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

07181 Introduction -- Parallel Universes and Local Patterns .
Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

2006
Dynamic Load Balancing for the Distributed Mining of Molecular Structures.
IEEE Trans. Parallel Distributed Syst., 2006

Adaptive Active Classification of Cell Assay Images.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Context-Aware Visual Exploration of Molecular Datab.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Rule Visualization based on Multi-Dimensional Scaling.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Interactive exploration of fuzzy clusters using Neighborgrams.
Fuzzy Sets Syst., 2005

Missing Values in Fuzzy Rule Induction.
Proceedings of the IEEE International Conference on Systems, 2005

Data Analysis in the Life Sciences - Sparking Ideas -.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Efficient Mining of Discriminative Molecular Fragments.
Proceedings of the International Conference on Parallel and Distributed Computing Systems, 2005

Exploring Hierarchical Rule Systems in Parallel Coordinates.
Proceedings of the Advances in Intelligent Data Analysis VI, 2005

High Performance Subgraph Mining in Molecular Compounds.
Proceedings of the High Performance Computing and Communications, 2005

Molecular Fragment Mining for Drug Discovery.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004
Fuzzy information granules in time series data.
Int. J. Intell. Syst., 2004

Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation".
Int. J. Approx. Reason., 2004

Large scale mining of molecular fragments with wildcards.
Intell. Data Anal., 2004

Guest Editorial: "Advances in intelligent data analysis".
Intell. Data Anal., 2004

Hybrid fragment mining with MoFa and FSG.
Proceedings of the IEEE International Conference on Systems, 2004

Advanced pruning strategies to speed up mining closed molecular fragments.
Proceedings of the IEEE International Conference on Systems, 2004

Towards learning in parallel universes.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Visualizing fuzzy points in parallel coordinates.
IEEE Trans. Fuzzy Syst., 2003

Mixed fuzzy rule formation.
Int. J. Approx. Reason., 2003

Constructing Hierarchical Rule Systems.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

2002
Mining Molecular Fragments: Finding Relevant Substructures of Molecules.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Fuzzy information granules in time series data.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001
Finding clusters in parallel universes.
Proceedings of the IEEE International Conference on Systems, 2001

2000
Input features' impact on fuzzy decision processes.
IEEE Trans. Syst. Man Cybern. Part B, 2000

Intelligent Data Analysis.
Technometrics, 2000

Advances in intelligent data analysis.
Intell. Data Anal., 2000

Learning Fuzzy Models and Potential Outliers.
Proceedings of the Computational Intelligence in Data Mining, 2000

1999
Constructing fuzzy graphs from examples.
Intell. Data Anal., 1999

Discriminative Power of Input Features in a Fuzzy Model.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

Learning and Rewriting in Fuzzy Rule Graphs.
Proceedings of the Applications of Graph Transformations with Industrial Relevance, 1999

Intelligent data analysis: an introduction; with 39 tables.
Springer, ISBN: 3540658084, 1999

1998
Missing Values and Learning of Fuzzy Rules.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1998

Constructive training of probabilistic neural networks.
Neurocomputing, 1998

Editorial: Reasoning About Data.
Intell. Data Anal., 1998

Intelligent Data Analysis: Reasoning About Data.
AI Mag., 1998

1997
Clustering on the Net: Applying an autoassociative neural network to computer-mediated discussions.
J. Comput. Mediat. Commun., 1997

Simulation Data Analysis Using Fuzzy Graphs.
Proceedings of the Advances in Intelligent Data Analysis, 1997

Formalizing neural networks using graph transformations.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Konstruktives Training von probabilistischen neuronalen Netzen für die Musterklassifikation.
PhD thesis, 1997

1996
Analysis of Simulation Models with Fuzzy Graph Based Metamodeling.
Perform. Evaluation, 1996

Fuzzy Graph Based Metamodeling.
Proceedings of the 28th conference on Winter simulation, 1996

A probabilistic extension for the DDA algorithm.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Building precise classifiers with automatic rule extraction.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Typicality in computer mediated discussions-an analysis with neural networks.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994
Boosting the Performance of RBF Networks with Dynamic Decay Adjustment.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Ein Trainingsverfahren für Radial Basis Function Netzwerke mit dynamischer Selektion der Zentren und Adaption der Radii.
Proceedings of the Fuzzy Logik, 1994


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